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arXiv · 2405.20538

Q-learning as a monotone scheme

Lingyi Yang
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Abstract

Stability issues with reinforcement learning methods persist. To better understand some of these stability and convergence issues involving deep reinforcement learning methods, we examine a simple linear quadratic example. We interpret the convergence criterion of exact Q-learning in the sense of a monotone scheme and discuss consequences of function approximation on monotonicity properties.

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Lingyi Yang. 2024-05-30. Q-learning as a monotone scheme. https://arxiv.org/abs/2405.20538

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